Big Data Benchmarks, Performance Optimization, and Emerging Hardware [electronic resource] : 6th Workshop, BPOE 2015, Kohala, HI, USA, August 31 - September 4, 2015. Revised Selected Papers / edited by Jianfeng Zhan, Rui Han, Roberto V. Zicari.
Contributor(s): Zhan, Jianfeng [editor.] | Han, Rui [editor.] | Zicari, Roberto V [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Computer Science: 9495Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: X, 147 p. 53 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319290065.Subject(s): Computer science | Computer communication systems | Algorithms | Database management | Data mining | Information storage and retrieval | Computer Science | Database Management | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Computer Communication Networks | Information Systems Applications (incl. Internet) | Algorithm Analysis and Problem ComplexityAdditional physical formats: Printed edition:: No titleDDC classification: 005.74 Online resources: Click here to access onlineBenchmarking -- Benchmarking and Workload Characterization -- Performance Optimization and Evaluation -- Emerging Hardware.
This book constitutes the thoroughly revised selected papers of the 6th workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 2015, held in Kohala Coast, HI, USA, in August/September 2015 as satellite event of VLDB 2015, the 41st International Conference on Very Large Data Bases. The 8 papers presented were carefully reviewed and selected from 10 submissions. The workshop focuses on architecture and system support for big data systems, aiming at bringing researchers and practitioners from data management, architecture, and systems research communities together to discuss the research issues at the intersection of these areas. This book also invites three papers from several industrial partners, including two papers describing tools used in system benchmarking and monitoring and one paper discussing principles and methodologies in existing big data benchmarks.
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